Probabilistic Analysis of Coupled Soil Consolidation

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1、ProbabilisticAnalysisofCoupledSoilConsolidation123JinsongHuang,M.ASCE;D.V.Griffiths,F.ASCE;andGordonA.Fenton,M.ASCEAbstract:CoupledBiotconsolidationtheorywascombinedwiththerandomÞnite-elementmethodtoinvestigatetheconsolidationbehaviorofsoildepositswithspatiallyvariableprop

2、ertiesinone-dimensional
1Dandtwo-dimensional
2Dspaces.ThecoefÞcientofvolumecompressibility
mvandthesoilpermeability
kareassumedtobelognormallydistributedrandomvariables.TherandomÞeldsofmvandkaregeneratedbythelocalaveragesubdivisionmethodwhichfullytakesaccountofspatial

3、correlation,localaveraging,andcrosscorrelations.ThegeneratedrandomvariablesaremappedontoaÞnite-elementmeshandMonteCarloÞnite-elementsimulationsfollow.Theresultsofparametricstudiesarepresented,whichdescribetheeffectofthestandarddeviation,spatialcorrelationlength,andcrossco

4、rrelationcoefÞcientonoutputstatisticsrelatingtotheoverallÒequivalentÓcoefÞcientofconsolidation.ItisshownthattheaveragedegreeofconsolidationdeÞnedbyexcessporepressureandsettlementaredifferentinheterogeneoussoils.Thedimensionaleffectonthesoilconsolidationbehaviorsisalsoinve

5、stigatedbycomparingthe1Dand2Dresults.DOI:10.1061/
ASCEGT.1943-5606.0000238CEDatabasesubjectheadings:Finiteelementmethod;Soilconsolidation;Probability;Coupling.Authorkeywords:Finite-elementmethod;Soilconsolidation;Probabilisticmethods;Coupling.IntroductionZeitounandBaker1

6、992;BrzakalaandPuła1996.CassianiandZoccatelli
2000andFriasetal.
2004analyzedstochasticsub-Ithaslongbeenrealized
Rowe1972thatreliablepredictionofsidenceproblemsbytakingaccountofareservoirÕsheteroge-consolidationratesinsoildepositsisdifÞcultduetovariableneousproperties.

7、propertiesandsoilfabric.Inrecentyears,manystudieshavebeenAlthoughthepreviouslymentionedworkshavedealtwithmadetoquantifysoilvariabilityandassesstheresultinguncer-probabilisticsoilconsolidationoverawiderangeofsituations,taintyforvariousapplications.Therehavebeenafewstudiest

8、hattherearevirtuallynocoupledtwo-dimensional
2Dstudiesandusedstochasticapproachestoinvestigatec